| A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems EK Burke, J Li, R Qu European Journal of Operational Research 203 (2), 484-493, 2010 | 225 | 2010 |
| A fuzzy genetic algorithm for driver scheduling J Li, RSK Kwan European Journal of Operational Research 147 (2), 334-344, 2003 | 136 | 2003 |
| An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering U Aickelin, EK Burke, J Li Journal of the Operational Research Society 58 (12), 1574-1585, 2007 | 115 | 2007 |
| A hybrid evolutionary approach to the nurse rostering problem R Bai, EK Burke, G Kendall, J Li, B McCollum IEEE Transactions on Evolutionary Computation 14 (4), 580-590, 2010 | 108 | 2010 |
| An estimation of distribution algorithm for nurse scheduling U Aickelin, J Li Annals of Operations Research 155 (1), 289-309, 2007 | 96 | 2007 |
| A hybrid metaheuristic case-based reasoning system for nurse rostering G Beddoe, S Petrovic, J Li Journal of Scheduling 12 (2), 99-119, 2009 | 88 | 2009 |
| Stochastic service network design with rerouting R Bai, SW Wallace, J Li, AYL Chong Transportation Research Part B: Methodological 60, 50-65, 2014 | 67 | 2014 |
| The falling tide algorithm: a new multi-objective approach for complex workforce scheduling J Li, EK Burke, T Curtois, S Petrovic, R Qu Omega 40 (3), 283-293, 2012 | 66 | 2012 |
| An evolutionary squeaky wheel optimization approach to personnel scheduling U Aickelin, EK Burke, J Li IEEE Transactions on evolutionary computation 13 (2), 433-443, 2008 | 60 | 2008 |
| A Bayesian optimization algorithm for the nurse scheduling problem J Li, U Aickelin The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 2149-2156, 2003 | 53 | 2003 |
| A Pareto-based search methodology for multi-objective nurse scheduling EK Burke, J Li, R Qu Annals of Operations Research 196 (1), 91-109, 2012 | 52 | 2012 |
| A self-adjusting algorithm for driver scheduling J Li Journal of Heuristics 11 (4), 351-367, 2005 | 49 | 2005 |
| The application of Bayesian optimization and classifier systems in nurse scheduling J Li, U Aickelin International Conference on Parallel Problem Solving from Nature, 581-590, 2004 | 41 | 2004 |
| Evolutionary crew scheduling with adaptive chromosomes Y Shen, K Peng, K Chen, J Li Transportation Research Part B: Methodological 56, 174-185, 2013 | 40 | 2013 |
| Integrating neural networks and logistic regression to underpin hyper-heuristic search J Li, EK Burke, R Qu Knowledge-Based Systems 24 (2), 322-330, 2011 | 33 | 2011 |
| BOA for nurse scheduling J Li, U Aickelin Scalable Optimization via Probabilistic Modeling, 315-332, 2006 | 30 | 2006 |
| Automated design of probability distributions as mutation operators for evolutionary programming using genetic programming L Hong, J Woodward, J Li, E Özcan European Conference on Genetic Programming, 85-96, 2013 | 26 | 2013 |
| A fuzzy simulated evolution algorithm for the driver scheduling problem J Li, RSK Kwan Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No …, 2001 | 25 | 2001 |
| Improved squeaky wheel optimisation for driver scheduling U Aickelin, EK Burke, J Li Parallel Problem Solving from Nature-PPSN IX, 182-191, 2006 | 24 | 2006 |
| A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks K Dashtipour, M Gogate, J Li, F Jiang, B Kong, A Hussain Neurocomputing 380, 1-10, 2020 | 21 | 2020 |
Rong QuAssociate Professor, University of Nottingham, UKVerified email at cs.nott.ac.uk
